I am trying to make a custom loss function by looking at the examples at https://github.com/fchollet/keras/blob/keras-1/keras/objectives.py .
As far as I understand y_pred and y_true in 2D case have shapes of [n_observations, n_features]. Why is the axis argument -1 everywhere as if giving the error for each observation separately within a batch? I assume that -1 means that the average is taken over the lastaxis -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
